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Sandra Götze

dblp:39/3555 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-6880-8020ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems bioinformatics
pathway analysis
0.812024
Probabilistic pathway-based multimodal factor analysis · Bioinform. 2024

Methods — techniques the papers use, named apart from their topics

probabilistic factor analysis · 0.8
YearPublicationVenuePosition
2024 Probabilistic pathway-based multimodal factor analysis
Alexander Immer, Stefan Stark, Francis Jacob, Ximena Bonilla, Tinu Thomas, André Kahles, Sandra Götze, Emanuela S. Milani, Bernd Wollscheid, Gunnar Rätsch, Kjong-Van Lehmann
Bioinform.7
2007 Geometrical probability approach for analysis of 3D chromatin structure in interphase cell nuclei
abstract
Investigation of 3D chromatin structure in interphase cell nuclei is important for the understanding of genome function. For a reconstruction of the 3D architecture of the human genome, systematic fluorescent in situ hybridization in combination with 3D confocal laser scanning microscopy is applied. The position of two or three genomic loci plus the overall nuclear shape were simultaneously recorded, resulting in statistical series of pair and triple loci combinations probed along the human chromosome 1 q-arm. For interpretation of statistical distributions of geometrical features (e.g. distances, angles, etc.) resulting from finite point sampling experiments, a Monte-Carlo-based approach to numerical computation of geometrical probability density functions (PDFs) for arbitrarily-shaped confined spatial domains is developed. Simulated PDFs are used as bench marks for evaluation of experimental PDFs and quantitative analysis of dimension and shape of probed 3D chromatin regions. Preliminary results of our numerical simulations show that the proposed numerical model is capable to reproduce experimental observations, and support the assumption of confined random folding of 3D chromatin fiber in interphase cell nuclei
Evgeny Gladilin, Sandra Götze, Jose Mateos-Langerak, Roel van Driel, Karl Rohr, Roland Eils
CIBCB2